医学
模型验证
内科学
外科
重症监护医学
计算机科学
数据科学
作者
Laura Bravo,Laura Bravo
出处
期刊:PubMed
日期:2024-07-01
卷期号:6 (7): e507-e519
标识
DOI:10.1016/s2589-7500(24)00065-7
摘要
Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
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